8 papers · 1 filter
Opportunities and Challenges for Data Quality in the Era of Quantum Computing
Sven Groppe, Valter Uotila, Jinghua Groppe
In an era where data underpins decision-making across science, politics, and economics, ensuring high data quality is of paramount importance. Conventional computing algorithms for…
Higher-Order Portfolio Optimization with Quantum Approximate Optimization Algorithm
Valter Uotila, Julia Ripatti, Bo Zhao
Portfolio optimization is one of the most studied optimization problems at the intersection of quantum computing and finance. In this work, we develop the first quantum formulation…
Agent-Q: Fine-Tuning Large Language Models for Quantum Circuit Generation and Optimization
Linus Jern, Valter Uotila, Cong Yu +1
Large language models (LLMs) have achieved remarkable outcomes in complex problems, including math, coding, and analyzing large amounts of scientific reports. Yet, few works have e…
Quantum Information-Theoretical Size Bounds for Conjunctive Queries with Functional Dependencies
Valter Uotila, Jiaheng Lu
Deriving formulations to estimate worst-case size bounds for conjunctive queries under various constraints has been at the core of theoretical database research. If the problem has…
Left-Deep Join Order Selection with Higher-Order Unconstrained Binary Optimization on Quantum Computers
Valter Uotila
Join order optimization is among the most crucial query optimization problems, and its central position is also evident in the new research field where quantum computing is applied…
QCE'24 Tutorial: Quantum Annealing -- Emerging Exploration for Database Optimization
Nitin Nayak, Manuel Schönberger, Valter Uotila +4
Quantum annealing is a meta-heuristic approach tailored to solve combinatorial optimization problems with quantum annealers. In this tutorial, we provide a fundamental and comprehe…